AI-driven village plan segmentation using satellite images and deep learning presents transformative solutions for addressing rural development challenges in India. This paper explores advancements in segmentation techniques to accurately identify houses, farms, and infrastructure, enabling precise land-use mapping. It examines the integration of high-resolution satellite imagery with deep learning models such as U-Net and Mask R-CNN, demonstrating their effectiveness in rural contexts. Case studies and recent research highlight the advantages of this AI-driven approach for resource allocation, agricultural planning, and disaster management. Key challenges, including data scarcity, computational limitations, and the need for region-specific models, are discussed along with potential strategies to overcome these barriers. The paper also emphasizes the scalability and adaptability of these AI-based methods to diverse rural settings, ensuring long-term sustainability and inclusivity. Future directions include developing localized datasets, enhancing model efficiency, and fostering collaborations to implement these technologies at scale for improving rural livelihoods in India

Village plan segmentation, satellite image, deep learning, rural development, sustainability

In conclusion, village plan segmentation using satellite images and deep learning offers a revolutionary framework for advancing rural development in India. It effectively addresses key challenges in housing, agriculture, disaster management, and infrastructure while fostering inclusivity, sustainability, and equity. By equipping policymakers and stakeholders with precise, actionable data, this approach facilitates efficient resource allocation, stimulates economic growth, and enhances the overall quality of life in rural communities. Additionally, it aids in bridging the urban-rural divide by ensuring targeted interventions in underserved areas. As a result, this methodology has the potential to significantly contribute to poverty reduction, disaster resilience, and the achievement of India’s sustainable development goals. By seamlessly integrating cutting-edge technologies with geospatial analysis, this framework not only transforms rural planning but also empowers communities, supports environmental conservation, and ensures long-term socio-economic progress

Smriti Upmanyu, Rajendra Gupta and Swarnima Panday (2025). AI-Driven Village Plan Segmentation: Leveraging Satellite Images and Deep Learning for Rural Development. International Journal on Emerging Technologies, 16(2): 28–35